E. Rees

Constrained non-coding sequence provides insights into regulatory elements and loss of gene expression in maize

The paper identifies constrained non-coding sequences in maize, showing their role in gene regulation and phenotypic variation through evolutionary analysis.

Machine learning and dengue forecasting: Comparing random forests and artificial neural networks for predicting dengue burdens at the national sub-national scale in Colombia

This paper compares random forests and artificial neural networks for predicting dengue cases in Colombia, finding that random forests provide more accurate forecasts, especially when applied nationally to local data.

Variation in host home range decreases rabies vaccination effectiveness by increasing the spatial spread of rabies

This study shows that variation in raccoon home range size increases rabies spread and reduces vaccination effectiveness by affecting disease dynamics and vaccine delivery strategies.